• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.102-115
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• 2018

The world's major countries carry forward strategies for enhancing industrial competitiveness, resulting in the fourth industrial revolution while a new growth engine is required to deal with the slow growth of global economy and declining productivity. Artificial intelligence (AI) is regarded as a core technology of the fourth industrial revolution. AI is expected to be implemented rapidly in advertising and media industries. However, it is hard to find an effective way to implement AI in these industries, especially because of how quickly the AI market changes and develops. Therefore, this study seeks the possible industrial influence of AI in advertising and media industries and invigoration plan for AI, by an in-depth interview with 10 professionals who lead the AI market. First, it was analyzed to explore the macroscopic side of the AI market through P (Politics), E (Economy), S (Society), and T (Technology). Also, the applicability of AI in advertising and media industries was explored by analyzing its S (Strength), W (Weakness), O (Opportunity), and T (Threat).The result indicates that it is necessary to build up a nation-wide construction of infrastructure for the fourth industrial revolution to invigorate AI in advertising and media industries. Moreover, a social environment capable of overcoming a hyper-connected society and social risks should be fostered. Lastly, it is urgent for both the industrial and academic world to diagnose the influence of AI in advertising and media industries, to anticipate the future in accordance with technological advance, set a proper direction, to invest actively for technical development of AI, and to formulate innovative policies.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.151-158
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• 2021

Internet of Things (IoT) technology, which provides services by connecting various objects in the real world and objects in the virtual world based on the Internet, is emerging as a technology that enables a hyper-connected society in the era of the 4th industrial revolution. Since IoT technology is a convergence technology that encompasses devices, networks, platforms, and services, various studies are being conducted. Among these studies, studies on measures that can measure service quality provided by IoT software are still insufficient. IoT software has hardware parts of the Internet of Things, technologies based on them, features of embedded software, and network features. These features are used as elements defining IoT software quality measurement metrics. However, these features are considered in the metrics related to IoT software quality measurement so far. Therefore, this paper presents a metric for reusability measurement among various quality factors of IoT software in consideration of these factors. In particular, since IoT software is used through IoT devices, services in IoT software must be designed to be changed, replaced, or expanded, and metrics that can measure this are very necessary. In this paper, we propose three metrics: changeability, replaceability, and scalability that can measure and evaluate the reusability of IoT software services were presented, and the metrics presented through case studies were verified. It is expected that the service quality verification of IoT software will be carried out through the metrics presented in this paper, thereby contributing to the improvement of users' service satisfaction.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.259-266
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• 2020

Many developments have been steadily carried out by researchers with applying knowledge-based expert system or machine learning algorithms to the financial field. In particular, it is now common to perform knowledge based system trading in using stock prices. Recently, deep learning technologies have been applied to real fields of stock trading marketplace as GPU performance and large scaled data have been supported enough. Especially, LSTM has been tried to apply to stock price prediction because of its compatibility for time series data. In this paper, we implement stock price prediction using LSTM. In modeling of LSTM, we propose a fitness combination of model parameters and activation functions for best performance. Specifically, we propose suitable selection methods of initializers of weights and bias, regularizers to avoid over-fitting, activation functions and optimization methods. We also compare model performances according to the different selections of the above important modeling considering factors on the real-world stock price data of global major companies. Finally, our experimental work brings a fitness method of applying LSTM model to stock price prediction.

• The KIPS Transactions:PartA
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• v.10A no.5
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• pp.529-538
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• 2003

The speedy development of the world-wide web is rapidly growing the internet-based tools for the remote instruction. In interchanging and expressing the information of one another on the web, it is produced through the form of HTML(Hyoertext Text Markup Language). However, the structural disadvantage of the HTML is becoming to require a powerful XML(eXtensible Markup Language) which can store all the sphere of data, and transform them into another form. Nevertheless, because the powerful XML(eXtensible Markup Language). However necessary that XML standard should be applied appropriately. Because existing lecture data of cyber education sites cannot be shared, the users should passively use only the functions offered by cyber school. To solve the problem of this limit, in this study, the standardized data structure for XML is defined, and system model for processing between the server and the client is provided. By storing the lecture data of cyber education sites as XML on the web, stored data came to be reused without changing on any site. In the view of Users, they could used the Internet service with equipment that they want at any place and any time. To control any kinds of CK\LMS(Cyber Lecture Management System) for Administrator and Users, we offered a variety of Multimedia applications and an easy interface and built a new style of CLMS. Therefore, by strong and extracting the data related with the virtual education of the secondary school through the form of XML, for the effective interchange and sharing of the information, maximum utilization of the information can be achieved.

• Korean Security Journal
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• no.32
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• pp.95-122
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• 2012

The ocean in the 21st century is getting emphasized as a treasury of natural resources and a growth engine for the nation. And nations around the world have entered into the hyper-competition to take the initiative for those marine resources. Under the situation, the Korea Coast Guard is devoting itself with full force to protecting maritime sovereignty, ensuring maritime safety and security and preserving the marine environment. Purpose of this study is to analyze Maritime Policing Act of 2012 and their problems and to suggest improvement measures. Objectives of Maritime Policing Act of 2012 is national Defence, policing for maritime security, protection of marine natural resources and marine facility in territorial waters and exclusive economic zone(EEZ) of Korea. Limits of Maritime Policing Act of 2012 are as follows. First, As organization related rules in Maritime Policing Act of 2012 are not enough, Maritime police agency Act should be revised and enacted in order to cope with future administrative demands and legal ground. Second, Article 22 penal regulation is more severe than regulations of another Act. Third, Article 14 should be made improvement for pre-prevention through the pre-report and the establishment of prohibition boundary in maritime demonstration.

• Journal of the Korea Computer Industry Society
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• v.3 no.3
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• pp.331-340
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• 2002

The web world is getting so huge and untractable that without an intelligent information extractor we would get more and more helpless. Conventional web spidering techniques for general purpose search engine may be too slow for the specific search engines, which concentrate only on specific areas or keywords. In this paper a new model for improving web spidering capabilities is suggested and experimented. How to select adequate reference web pages from the initial web Page set relevant to a given specific area (or keywords) can be very important to reduce the spidering speed. Our reference web page selection method DOPS dynamically and orthogonally selects web pages, and it can also decide the appropriate number of reference pages, using a newly defined measure. Even for a very specific area, this method worked comparably well almost at the level of experts. If we consider that experts cannot work on a huge initial page set, and they still have difficulty in deciding the optimal number of the reference web pages, this method seems to be very promising. We also applied reinforcement learning to web environment, and DOPS-based reinforcement learning experiments shows that our method works quite favorably in terms of both the number of hyper links and time.

• The Korean Journal of Applied Statistics
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• v.35 no.4
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• pp.543-552
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• 2022

When frost occurs, crops are directly damaged. When crops come into contact with low temperatures, tissues freeze, which hardens and destroys the cell membranes or chloroplasts, or dry cells to death. In July 2020, a sudden sub-zero weather and frost hit the Minas Gerais state of Brazil, the world's largest coffee producer, damaging about 30% of local coffee trees. As a result, coffee prices have risen significantly due to the damage, and farmers with severe damage can produce coffee only after three years for crops to recover, which is expected to cause long-term damage. In this paper, we tried to predict frost using frost generation data and weather observation data provided by the Korea Meteorological Administration to prevent severe frost. A model was constructed by reflecting weather factors such as wind speed, temperature, humidity, precipitation, and cloudiness. Using XGB(eXtreme Gradient Boosting), SVM(Support Vector Machine), Random Forest, and MLP(Multi Layer perceptron) models, various hyper parameters were applied as training data to select the best model for each model. Finally, the results were evaluated as accuracy(acc) and CSI(Critical Success Index) in test data. XGB was the best model compared to other models with 90.4% ac and 64.4% CSI, followed by SVM with 89.7% ac and 61.2% CSI. Random Forest and MLP showed similar performance with about 89% ac and about 60% CSI.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.537-542
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• 2022

The "cognitive warfare," which has emerged as a result of the Ukrainian-Russian war, has already existed in the previous war and is now emerging as a major aspect of the war, its meaning and influence are increasing. Recognizing the emergence and importance of cognitive warfare and understanding the meaning and characteristics of cognitive warfare must be accompanied by victory in the modern war. After Russia's alleged involvement in the U.S. presidential election in 2016 drew attention, the Israeli-Palestinian conflict in 2021 confirmed its upward influence. In particular, 'cognitive warfare' using SNS played a major role in leading the war to its advantage and maintaining the initiative by selecting clear purposes and targets such as the international community, the people, and Hamas. This new pattern of war is gradually emerging as the world is hyper connected with the advent of the Fourth Industrial Revolution. It is expected that it will play a leading role in the future battle if it clearly recognizes the main contents of the new war, "Injijeon," and has the ability and ability to actively operate it.

• Journal of the Korean Society of Food Science and Nutrition
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• v.35 no.5
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• pp.557-564
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• 2006

This research was planned and executed to evaluate how the composition of Yak-sun (oriental diet therapy) can effect health conditions of people who are suffering from diet-related diseases like obesity and hyper lipidemia by taking Yak-sun in a form of nutritional supplement with our daily meals. We produced Yak-sun tea with $Ky\hat{a}lmy\hat{a}ngja$, Kamguk, $K\hat{u}m\hat{u}nhwa$, Ch'onkung and observed nutritional composition and evaluated how this tea effects on serum lipids and homocystein concentration by clinical practices. With this observation, we found out that this tea has significant effect on increasing of HDL-cholesterol, decreasing of LDL-cholesterol and homocysteine concentration, and we think that scientific and objective evaluation was done on the components of Yak-sun tea prescription. We concluded that we could apply the components not only in a form of tea, but also in other forms of various food. The information we received from this conclusion will be a basic information on how we can apply oriental medicinal resources into other food and will also be a stepping stone for medicinal herbs to step foot in the field of functional food research, which already draws sizable attention world-wide.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.329-341
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• 2020

As COVID-19 pandemic sweeps across the world, more than 45 million confirmed cases and over 1,000,000 deaths have occurred till now, and this situation is expected to continue for some time. In particular, more than half of the infections in European countries such as Italy and Spain occurred in nursing homes, and it is reported that over 4,000 people died in nursing homes for older adults in the United States. Therefore, the issues that need to be addressed after the COVID-19 crisis include finding a fundamental solution to group care and shifting to family-centered care. More specifically, it is expected that there will be ever more lively discussion on establishing and expanding hyper-technology based community care, that is, family-centered care integrated with ICT and other Industry 4.0 technologies. This poses a challenge of how to combine social security and social welfare with Industry 4.0 in concrete ways that go beyond the abstract suggestions made in the past. A case in point is the proposal involving smart welfare cities. Given this background, the present paper examined the concept, scope, and content of non-face-to-face care in the context of previous literature on the function and scope of the social security platform, and the concept and expandability of the smart welfare city. Implementing a smart city to realize the kind of social security and welfare that our society seeks to provide has significant bearing on the implementation of community care or aging in place. One limitation of this paper, however, is that it does not address concrete measures for implementing non-face-to-face care from the policy and legal/institutional perspectives, and further studies are needed to explore such measures in the future. It is expected that the findings of this paper will provide the future course and vision not only for the smart welfare city but also for the social security and welfare system in administrative, practical, and legislative aspects, and ultimately contribute to improving the quality of human life.